Identity statement area
Reference TypeConference Proceedings
Last Update2018:
Metadata Last Update2020: administrator
Citation KeyJúniorSilvPaiv:2018:ViAuRe
TitleVirtual and Augmented Reality Applications Development Methodology using natural markers in industrial scenarios
DateOct. 29 - Nov. 1, 2018
Access Date2020, Dec. 04
Number of Files1
Size3007 KiB
Context area
Author1 Júnior, Daniel Lima Gomes
2 Silva, Aristófanes Correa
3 Paiva, Anselmo Cardoso de
Affiliation1 Instituto Federal do Maranhão
2 Universidade Federal do Maranhão
3 Universidade Federal do Maranhão
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
History2018-10-16 15:35:28 :: -> administrator ::
2020-02-20 22:06:49 :: administrator -> :: 2018
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Document Stagenot transferred
Tertiary TypeMaster's or Doctoral Work
KeywordsVirtual Reality, Augmented Reality, Natural Markers, Haar-like Features.
AbstractIn this Ph.D. research, we have proposed a methodology for development of Virtual Reality (VR) and Augmented Reality (AR) applications, using natural markers for industrial scenarios. The proposed methodology uses the object annotation concept and visualization proposals are presented both for development of VR as for AR environments. In VR environments, the methodology is applied for object detection step of the semi-automatic authoring tool. On the other hand, in AR environments, is presented the concept of georeferenced natural markers, which use the georeferenced data integrated with object detection process using image processing techniques. The energy substations scenarios were used as case study for both approaches. This work proposes using Haar-like feature based natural markers integrated with homomorphic filtering for object training and detection process. The results enable the equipment detection at different points of view, within the operating scenario. Besides that, in AR, it enables the pose estimation in real-time using ORB features, while in VR it enables the semi-automatic object detection, which are used as information points for inclusion of virtual information. Several industrial scenarios, and especially the energy sector, has a high degree of complexity in the information processing and visualization. In this sense, beyond the 3D natural markers methodology, this work presents visualization applications for industrial scenario visualization in VR and AR approaches.
source Directory Contentthere are no files
agreement Directory Content
agreement.html 16/10/2018 12:35 1.2 KiB 
Conditions of access and use area
Target FileWTD.pdf
Allied materials area
Next Higher Units8JMKD3MGPAW/3RPADUS
Notes area
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume